Thor Sten (@tkuehlmeyer) header
Thor Sten (@tkuehlmeyer) profile picture

Dad of 3 Boys // Private Investor in Web3 - #InternetOfThings #InternetOfData #InternetOfValues #DecentralizedAI // Professional Passion for Analytics & AI

Munich Metropolitan Area
Joined April 2009
Photo by Thor Sten (@tkuehlmeyer)Photo by Thor Sten (@tkuehlmeyer)Photo by Thor Sten (@tkuehlmeyer)Photo by Thor Sten (@tkuehlmeyer)Photo by Thor Sten (@tkuehlmeyer)Photo by Thor Sten (@tkuehlmeyer)Photo by Thor Sten (@tkuehlmeyer)Photo by Thor Sten (@tkuehlmeyer)Photo by Thor Sten (@tkuehlmeyer)Photo by Thor Sten (@tkuehlmeyer)
#AI - illustrated by AI
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Thor Sten retweeted
Letztes Jahr bin ich aus den Grünen ausgetreten. Die Entscheidung war nicht einfach. Sie fühlte sich richtig an und gleichzeitig zu früh. Heute weiß ich: Sie war richtig. Und nur minimal zu früh. Wie eng es für Juden in diesem Land wird, merkt man daran, dass man anfängt, seine Freunde zu zählen. spiegel.de/politik/deutschla…
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📄 Releasing the Soofi S pretraining tech report: a sovereign, open foundation model for German and English Today we’re publishing the full pretraining tech report and project page for Soofi S 30B-A3B — a Mixture-of-Experts hybrid Mamba model trained on ~27 trillion tokens with deliberately up-weighted German. What’s in the report: 🏆 Strongest fully open model in our evaluations on BOTH the English and German aggregates — ahead of Olmo 3 32B and Apertus 70B (full methodology in the report) 📋 Radical transparency: complete per-source data accounting, all hyperparameters, training + eval code, checkpoints — everything under permissive licenses 🇩🇪 Trained end-to-end on Deutsche Telekom’s Industrial AI Cloud in Munich — sovereign AI infrastructure on German soil Soofi S combines frontier-level capability with the highest measured aggregate long-context decode TPS, and unlike full-attention dense baselines maintains high throughput as context grows. The figure plots Capability Index versus measured aggregate decode TPS/GPU at 40K context and batch 32. The Capability Index averages five benchmark groups, i.e., Code, GSM8K, GPQA-Diamond, English aggregate, and German aggregate, after normalizing each group to the best plotted model. Aggregate decode TPS/GPU is measured with a TP=1, one-B200 vLLM latency-subtraction protocol.
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Thor Sten retweeted
Das sollte der letzte Ort sein, der Photo-Ops dieser Art verdient. Der Ort rückt buchstäblich in den unscharfen Hintergrund, der Besucher wird zum eigentlichen Protagonisten. Und ich frage mich, mal wieder, warum.
Auschwitz steht wie kein anderer Ort für das unfassbare Menschheitsverbrechen der Shoah, für millionenfaches Leid, Entmenschlichung & Mord. An diesem Ort zeigt sich das ganze Ausmaß der brutalen Verbrechen des Nationalsozialismus. (1/2)
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Ich wiederhole meinen Hinweis: Die Besteuerung von Krypto-Gewinnen ist eines der wenigen Felder, wo Deutschland als Steuer-Standort komparative Vorteile bietet. Man kann die Frage stellen, warum Politiker auch noch den letzten komparative Vorteil tilgen wollen. Nun gut, Krypto-Halter wählen selten linke Parteien, von daher trifft es die Wähler der anderen
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🚨BREAKING: Anthropic just published a study mapping exactly which jobs its own AI is replacing right now. The workers most at risk are not who anyone expected. They are older. They are more educated. They earn 47% more than average. And they are nearly four times more likely to hold a graduate degree than the workers AI is not touching. The argument is straightforward. Anthropic built a new metric called "observed exposure." Not what AI could theoretically do. What it is actually doing right now in professional settings, measured against millions of real Claude conversations from enterprise users. For computer and math workers, AI is theoretically capable of handling 94% of their tasks. It is currently handling 33% of them. For office and administrative roles, theoretical capability is 90%. Current observed usage is 40%. The gap between what AI can do and what it is already doing is enormous. The researchers are explicit about what comes next. As capabilities improve and adoption deepens, the red area grows to fill the blue. The demographic finding is what makes the paper uncomfortable. The most AI-exposed workers earn 47% more on average than the least exposed group. They are more likely to be female. They are more likely to be college educated. This is not a story about warehouse workers or truck drivers. It is a story about lawyers, financial analysts, market researchers, and software developers. The exact group whose education was supposed to insulate them. Computer programmers showed the highest observed AI exposure at 74.5%. Customer service representatives at 70.1%. Data entry keyers at 67.1%. Medical record specialists at 66.7%. Market research analysts and marketing specialists at 64.8%. These are not predictions. These are measurements of work that is already happening on AI platforms right now. Then there is the pipeline finding nobody is talking about loudly enough. Anthropic's researchers found a 14% decline in the job-finding rate for workers aged 22 to 25 in highly exposed occupations since ChatGPT launched. No comparable effect for workers over 25. Entry-level roles were never just jobs. They were the training ground where junior analysts became senior analysts, where junior lawyers learned how arguments hold together. If that layer disappears, nobody has answered the question of where the next generation of senior professionals comes from. The detail buried in the paper that most coverage missed: 30% of American workers have zero AI exposure at all. Cooks. Mechanics. Bartenders. Dishwashers. The technology reshaping professional careers is completely irrelevant to roughly a third of the workforce. The divide is no longer between high skill and low skill. It is between presence and absence. The company publishing this study is the same company selling the AI doing the replacing. Anthropic had every commercial incentive to soften these findings. They published them anyway. If you spent four years and $200,000 on a degree to land a white collar career, the company that builds Claude just confirmed your job is more exposed than the bartender pouring drinks at your graduation party. Source: Anthropic, "Labor market impacts of AI: A new measure and early evidence" PDF: anthropic.com/research/labor…
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GPT-5.5 is here! We hope it's useful to you. I personally like it.
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There are no words.
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Da Klingbeil ja nicht müde wird, seinen Quark bzgl. des Ehegattensplittings unters Volk zu bringen, hier anderthalb Minuten die -sehr eindeutige- Einschätzung des Bundeskanzlers von vor 5 Tagen dazu.
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This is timely for the upcoming earnings season 😂
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Kudos to @Deloitte for offering the "State of AI in the Enterprise" report without a reg wall. Findings? Most companies haven't started redesigning work for AI. Sovereignty is playing a big part in vendor selection. Few companies have agent governance. deloitte.com/us/en/what-we-d…
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😱Anthropic isn’t just building chatbots They’re building a system that can think, code & execute And most people are using it wrong. There are actually 3 different Claudes — and each one replaces a different type of work: 1. Claude AI → replaces Google + docs + junior research • Writing, thinking, summarizing, ideation • Zero setup, pure conversation 2. Claude Code → replaces hours of engineering work • Reads your entire codebase • Edits multiple files • Writes, debugs, and runs tests autonomously 3. Claude Cowork → replaces repetitive computer tasks • Renames, organizes, and edits files in bulk • Extracts data from PDFs → spreadsheets • Automates cross-app workflows Simple rule: • Thinking → Claude AI • Building → Claude Code • Doing → Claude Cowork Most people only use the first. The leverage is in the other two
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Introducing Cowork and plugin updates that help enterprises customize Claude for better collaboration with every team.
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I don't understand why everyone is excited about @moltbook. We already have a social network where zombie bots talk to each other. It's called LinkedIn.
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Europa müsste EIGENTLICH der mächtigste und größte Wirtschaftsraum der Welt sein. Ich bin mir sicher: Wenn wir endlich diese bekloppten Ideologien über Bord werfen würden und Reformen von historischer Dimension zur Entfesselung der Wirtschaft machen würden, dann wird Europa in 15 Jahren mit Amerika auf Augenhöhe verhandeln. Der Weg dahin: Innovative Startups bzw. innovative Projekte aller Formen und Farben, die uns exponentielles Wachstum bescheren können. Wir können das. Wir haben die Substanz dafür.
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